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Several fixes of strategies docs

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Removed duplicates of strategies descriptions, added references to
that descriptions instead of module descriptions.

Change-Id: Ife396ddce5c3cc926cc111f1ff1abd3a42c22561
This commit is contained in:
Egor Panfilov
2018-03-28 19:36:32 +03:00
parent d86fee294f
commit 92dad3be2d
18 changed files with 94 additions and 174 deletions
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38
watcher/decision_engine/strategy/strategies/basic_consolidation.py
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@@ -16,24 +16,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
*Good server consolidation strategy*
Consolidation of VMs is essential to achieve energy optimization in cloud
environments such as OpenStack. As VMs are spinned up and/or moved over time,
it becomes necessary to migrate VMs among servers to lower the costs. However,
migration of VMs introduces runtime overheads and consumes extra energy, thus
a good server consolidation strategy should carefully plan for migration in
order to both minimize energy consumption and comply to the various SLAs.
This algorithm not only minimizes the overall number of used servers, but also
minimizes the number of migrations.
It has been developed only for tests. You must have at least 2 physical compute
nodes to run it, so you can easily run it on DevStack. It assumes that live
migration is possible on your OpenStack cluster.
"""
from oslo_config import cfg
from oslo_log import log
@@ -47,7 +29,25 @@ LOG = log.getLogger(__name__)
class BasicConsolidation(base.ServerConsolidationBaseStrategy):
"""Basic offline consolidation using live migration"""
"""Good server consolidation strategy
Basic offline consolidation using live migration
Consolidation of VMs is essential to achieve energy optimization in cloud
environments such as OpenStack. As VMs are spinned up and/or moved over
time, it becomes necessary to migrate VMs among servers to lower the
costs. However, migration of VMs introduces runtime overheads and
consumes extra energy, thus a good server consolidation strategy should
carefully plan for migration in order to both minimize energy consumption
and comply to the various SLAs.
This algorithm not only minimizes the overall number of used servers,
but also minimizes the number of migrations.
It has been developed only for tests. You must have at least 2 physical
compute nodes to run it, so you can easily run it on DevStack. It assumes
that live migration is possible on your OpenStack cluster.
"""
HOST_CPU_USAGE_METRIC_NAME = 'compute.node.cpu.percent'
INSTANCE_CPU_USAGE_METRIC_NAME = 'cpu_util'